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Philipp Hertel

dblp:17/1755 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 4 · 2 first-authorArtificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
3 papers
Computational complexity · 84% Logic in computer science · 8% Automated reasoning and model checking · 8%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity
black-white pebbling
0.222010
The PSPACE-Completeness of Black-White Pebbling · SIAM J. Comput. 2010
Exponential Time/Space Speedups for Resolution and the PSPACE-completeness of Black-White Pebbling · FOCS 2007
Computational complexity
space complexity
0.222010
The PSPACE-Completeness of Black-White Pebbling · SIAM J. Comput. 2010
Exponential Time/Space Speedups for Resolution and the PSPACE-completeness of Black-White Pebbling · FOCS 2007
Computational complexity
proof complexity
0.222008
Clause Learning Can Effectively P-Simulate General Propositional Resolution · AAAI 2008
Exponential Time/Space Speedups for Resolution and the PSPACE-completeness of Black-White Pebbling · FOCS 2007
Computational complexity › complexity classes › PSPACE
PSPACE-completeness
0.112010
The PSPACE-Completeness of Black-White Pebbling · SIAM J. Comput. 2010
Automated reasoning and model checking › satisfiability › SAT solving
clause learning
0.112008
Clause Learning Can Effectively P-Simulate General Propositional Resolution · AAAI 2008
Logic in computer science
proof theory
0.112008
Clause Learning Can Effectively P-Simulate General Propositional Resolution · AAAI 2008
Computational complexity › proof complexity
resolution
0.112008
Clause Learning Can Effectively P-Simulate General Propositional Resolution · AAAI 2008
Computational complexity › space complexity
pebble game
0.112007
Exponential Time/Space Speedups for Resolution and the PSPACE-completeness of Black-White Pebbling · FOCS 2007
Computational complexity › proof complexity › resolution
resolution space
0.112007
Exponential Time/Space Speedups for Resolution and the PSPACE-completeness of Black-White Pebbling · FOCS 2007

Methods — techniques the papers use, named apart from their topics

proof simulation · 0.1exponential speedup construction · 0.1PSPACE-completeness reduction · 0.1
YearPublicationVenuePosition
2010 The PSPACE-Completeness of Black-White Pebbling
abstract
The complexity of the black-white pebbling game has remained an open problem for 30 years. In this paper we show that the black-white pebbling game is PSPACE-complete.
Philipp Hertel, Toniann Pitassi
SIAM J. Comput.1
2008 Clause Learning Can Effectively P-Simulate General Propositional Resolution
Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, Allen Van Gelder
AAAI1
2007 Exponential Time/Space Speedups for Resolution and the PSPACE-completeness of Black-White Pebbling
abstract
The complexity of the Black-White Pebbling Game has remained open for 30 years. It was devised to capture the power of non-deterministic space bounded computation. Since then it has been applied to problems in diverse areas of computer science including VLSI design and more recently propositional proof complexity. In this paper we show that the Black-While Pebbling Game is PSPACE-complete. We then use similar ideas in a more complicated reduction to prove the PSPACE-completeness of Resolution space. The reduction also yields a surprising exponential time/space speedup for Resolution in which an increase of 3 units of space results in an exponential decrease in proof-size.
Philipp Hertel, Toniann Pitassi
FOCS1
2007 Formalizing Dangerous SAT Encodings
Alexander Hertel, Philipp Hertel, Alasdair Urquhart
SAT2
2002 An O(pn + 1.151p)-Algorithm for p-Profit Cover and Its Practical Implications for Vertex Cover
Ulrike Stege, Iris van Rooij, Alexander Hertel, Philipp Hertel
ISAAC4